Industry 4.0

Transform connected industry while protecting intellectual property and data confidentiality

Use Cases

Collaborative Predictive Maintenance


Optimize operations across production plants without sharing sensitive internal information.

Supply Chain Optimization



Improve efficiency across the entire logistics network while preserving each participant’s data privacy.

AI-Driven Product Quality


Detect production defects using AI models trained on distributed data with no risk of IP leakage.

Collaborative Development Among Manufacturers

Accelerate innovation through joint learning without disclosing proprietary data.

Aerospace Predictive Maintenance with Privacy and Energy Efficiency

This study demonstrates how Sherpa.ai applies Federated Learning to predict aircraft engine failures without transferring sensitive data. Using a NASA turbine dataset, the approach enhances predictive accuracy while minimizing energy consumption and bandwidth usage—meeting the demanding requirements of the aerospace sector.

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